Machine learning techniques to characterize functional traits of plankton from image data - Perspectives and recent work
Plankton imaging systems supported by automated classification and analysis have improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of reliably tracking plankton populations with a suite of lab-based and in situ tools, collecting imaging data at unprecedentedly fine spatial and temporal scales. But these data have potential well beyond examining the abundances of different taxa; the individual images themselves contain a wealth of information on functional traits. In this talk, we outline traits that could be measured from image data, suggest machine learning and computer vision approaches to extract functional trait information from the images, and discuss promising avenues for novel studies. We also provide a few examples of very recent work using machine learning to quantify functional traits from plankton images.
Presentation Preference: Oral
Primary Presenter: Heidi Sosik, Woods Hole Oceanographic Institution (hsosik@whoi.edu)
Authors:
Eric Orenstein, National Oceanography Centre (Eric.Orenstein@noc.ac.uk)
Sakina-Dorothée Ayata, Sorbonne Université, Laboratoire d’Océanographie et du Climat (sakina-dorothee.ayata@locean.ipsl.fr)
Frédéric Maps, Université Laval (frederic.maps@bio.ulaval.ca)
Érica C. Becker Becker, Universidade Federal de Santa Catarina (ebecker@ogs.it)
Fabio Benedetti, ETH Zürich (fabio.benedetti@usys.ethz.ch)
Tristan Biard, Université du Littoral Côte d'Opale, Université de Lille (tristan.biard@univ-littoral.fr)
Thibault de Garidel-Thoron, Aix-Marseille Université (garidel@cerege.fr)
Jeffrey Ellen, Scripps Institution of Oceanography, University of California San Diego (jeffrey.ellen@navy.mil)
Filippo Ferrario, Université Laval (filippo.f3rrario@gmail.com)
Sarah Giering, National Oceanography Centre (S.giering@noc.ac.uk)
Tamar Guy-Haim, National Institute of Oceanography, Israel (tamar.guy-haim@ocean.org.il)
Laura Hoebeke, Ghent University (laura.hoebeke@ugent.be)
Morten Iversen, Alfred Wegener Institute for Polar and Marine Research (miversen@marum.de)
Thomas Kiørboe, Technical University of Denmark (tk@aqua.dtu.dk)
Jean-François Lalonde, Université Laval (jean-francois.lalonde@gel.ulaval.ca)
Arancha Lana, Institut Mediterrani d'Estudis Avançats (alana@imedea.uib-csic.es)
Martin Laviale, Université de Lorraine (martin.laviale@univ-lorraine.fr)
Fabien Lombard, Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche (fabien.lombard@imev-mer.fr)
Tom Lorimer, Eawag, Dübendorf (tom.lorimer@gmail.com)
Séverine Martini, Aix Marseille University, Université de Toulon (severine.martini@mio.osupytheas.fr)
Albin Meyer, Université de Lorraine (albmey@hotmail.com)
Klas Möller, Helmholtz-Zentrum Hereon (klas.moeller@hzg.de)
Barbara Niehoff, Alfred Wegener Institute for Polar and Marine Research (barbara.niehoff@awi.de)
Mark Ohman, Scripps Institution of Oceanography, University of California San Diego (mohman@ucsd.edu)
Cédric Pradalier, GeorgiaTech Lorraine (cedric.pradalier@georgiatech-metz.fr)
Jean-Baptiste Romagnan, IFREMER, Centre Atlantique (jean.baptiste.romagnan@ifremer.fr)
Simon-Martin Schröder, Kiel University (sms@informatik.uni-kiel.de)
Virginie Sonnet, University of Rhode Island (virginie.sonnet@imev-mer.fr)
Heidi Sosik, Woods Hole Oceanographic Institution (hsosik@whoi.edu)
Lars Stemmann, Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche (lars.stemmann@imev-mer.fr)
Michiel Stock, Ghent University (michielfmstock@gmail.com)
Tuba Terbiyik-Kurt, Cukurova University (tubaterbiyik@gmail.com)
Nerea Valcárcel-Pérez, Centro Oceanográfico de Málaga (nerea.valcarcel@ieo.es)
Laure Vilgrain, Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche (Laure.Vilgrain@mi.mun.ca)
Guillaume Wacquet, IFREMER (Guillaume.Wacquet@univ-littoral.fr)
Anya Waite, Dalhousie University (anya.waite@oceanfi.ca)
Jean-Olivier Irisson Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche Irisson, Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche (jean-olivier.irisson@imev-mer.fr)
Machine learning techniques to characterize functional traits of plankton from image data - Perspectives and recent work
Category
Spotlight Session > SPOT - Author Spotlight: Recent high-impact publications from the ASLO journals
Description
Time: 04:45 PM
Date: 28/3/2025
Room: W207AB